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Machine Learning Object Detection Jobs in Morgan Hill, CA

About the Role We are looking for a strong Machine Learning Engineer / Computer Vision Engineer to ... Solid understanding of object detection training workflows, including dataset preparation ...

About the Role We are looking for a strong Machine Learning Engineer / Computer Vision Engineer to ... Solid understanding of object detection training workflows, including dataset preparation ...

Design, train, and optimize innovative machine learning models for LiDAR/camera perception and multi-sensor fusion (e.g., object detection/classification, image classification, semantic segmentation ...

Object oriented programming skills in one of Scala, Java, Python, C++. * Strong knowledge and ... Creating automated anomaly detection systems and constant tracking of its performance * SQL and ...

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Machine Learning Object Detection information

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$35.9K

$146.9K

$220.7K

How much do machine learning object detection jobs pay per year?

As of Aug 25, 2026, the average yearly pay for machine learning object detection in Morgan Hill, CA is $146,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $176,800.00 per year, depending on experience, location, and employer.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are popular job titles related to Machine Learning Object Detection jobs in Morgan Hill, CA?

For Machine Learning Object Detection jobs in Morgan Hill, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Object Detection jobs in Morgan Hill, CA look for?

The top searched job categories for Machine Learning Object Detection jobs in Morgan Hill, CA are:

What cities near Morgan Hill, CA are hiring for Machine Learning Object Detection jobs?

Cities near Morgan Hill, CA with the most Machine Learning Object Detection job openings:

Data Scientist - Computer Vision

SPAR Information Systems LLC

Santa Clara, CA • On-site

Contractor

Re-posted yesterday


Job description

Client Job Description: Title: Data Scientist -- Computer Vision
Location: Onsite – Santa Clara, CA
Job Description/ Important details:
1. Solid knowledge of image processing: Filtering, Binary Morphology, Perspective / Affine transformation, Edge Detection
2. Machine Learning: Regression, Supervised and Unsupervised Learning,
3. Knowledge of HDR and Deep Learning object detection.
Job Description:
Additional Sills: Machine Learning,Regression,Binary,Pca